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Support Ticket Summarisation

Response Template Generation

Ticket Summarisation

Sentiment Analysis

Language Detection and Translation

Response Quality Check

Issue Trend Analysis

CRM

Response Quality Check

This Task automates the evaluation of draft responses for tone, completeness, and adherence to company guidelines before sending to customers. Designed for use by Customer Service Representatives and Quality Assurance Teams, the system performs the following functions:

  • Analyses draft responses to assess tone and emotional appropriateness

  • Checks for completeness in addressing all points raised by the customer

  • Verifies adherence to company communication guidelines and policies

  • Identifies potential areas for improvement or clarification

  • Flags any sensitive content or potential compliance issues


This Task is designed to integrate with existing customer relationship management (CRM) systems, email platforms, and helpdesks. The template can be adapted to address specific quality check requirements within an organisation's customer communication framework. This customisation allows for tailored improvements in response quality, brand consistency, and regulatory compliance.

Example outputs:

[
  {
    "overall_quality_score": "Good",
    "tone_assessment": "The tone is generally appropriate and empathetic, but could be slightly warmer in addressing the customer's frustration.",
    "completeness_check": false,
    "missing_points": [
      "Details about the refund process timeline",
      "Information on preventing similar issues in the future"
    ],
    "guideline_adherence": "The response largely adheres to company guidelines, but lacks the standard closing statement.",
    "improvement_suggestions": [
      "Add information about the expected refund processing time",
      "Include tips on how to avoid similar issues in future orders",
      "Use the customer's name more than once to personalize the response",
      "Add the standard closing statement as per company guidelines"
    ],
    "sensitive_content_flag": false,
    "sensitive_content_details": ""
  },
  {
    "overall_quality_score": "Fair",
    "tone_assessment": "The tone is overly formal and lacks empathy, particularly given the customer's expressed frustration.",
    "completeness_check": true,
    "missing_points": [],
    "guideline_adherence": "The response deviates from guidelines in its use of technical jargon and lack of a clear call-to-action.",
    "improvement_suggestions": [
      "Rephrase the technical explanation in more customer-friendly language",
      "Add an empathetic statement acknowledging the customer's frustration",
      "Include a clear call-to-action or next steps for the customer",
      "Use bullet points to break down the solution steps for easier reading"
    ],
    "sensitive_content_flag": true,
    "sensitive_content_details": "The response mentions account-specific details that should be communicated through secure channels only."